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Loffi RG, Cruz TKF, Paiva GM, Souto DO, Barreto SR, Santana PAN, Nascimento AAAC, Costa FRM, Cota EB, Haase VG. Theoretical-Methodological Foundations for the Global Integration Method (Método de Integração Global-MIG) in the Treatment of Autism Spectrum Disorder. CHILDREN (BASEL, SWITZERLAND) 2024; 11:191. [PMID: 38397303 PMCID: PMC10887636 DOI: 10.3390/children11020191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/25/2024]
Abstract
Currently, there is no intervention model for autism spectrum disorder (ASD) that addresses all levels and factors of the International Classification of Functioning, Disability and Health (ICF, WHO). The most researched programs focus on naturalistic, developmental and behavioral approaches to socio-communication. Less attention has been paid to motor and environmental reactivity aspects (behavior/interest restriction and sensory reactivity). The evidence rationale for the Global Integration Method (MIG, "Método de Integração Global"), a model addressing sensorimotor reactivity in addition to socio-communication, is presented. MIG is an integrative, interdisciplinary, family-oriented intervention and naturalistic program that addresses all levels and moderating factors of ASD's impact. MIG's theoretical rationale is based on the predictive coding impairment and embodied cognition hypotheses. MIG incorporates both bottom-up (flexible therapeutic suit, social-motor synchronization) and top-down (schematic social information processing, narratives, imagery) strategies to promote the building and use of accurate, flexible and context-sensitive internal predictive models. MIG is based on the premises that predictive coding improves both socio-communication and environmental reactivity, and that the postural stabilization provided by the flexible therapeutic suit frees information processing resources for socio-cognitive learning. MIG builds on interdisciplinary, professionally and parentally mediated work based on behavioral principles of intensive training in a situated environment.
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Affiliation(s)
- Renato Guimarães Loffi
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
| | - Thalita Karla Flores Cruz
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
- Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Giulia Moreira Paiva
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
- Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Deisiane Oliveira Souto
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
| | - Simone Rosa Barreto
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
- Programa de Pós-Graduação em Ciências Fonoaudiológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Patrícia Aparecida Neves Santana
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
- Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Amanda Aparecida Alves Cunha Nascimento
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
- Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Fabiana Rachel Martins Costa
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
- Programa de Pós-Graduação em Psicologia: Cognição e Comportamento, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
| | - Elisa Braz Cota
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
| | - Vitor Geraldi Haase
- Instituto de Neurodesenvolvimento, Cognição e Educação Inclusiva (INCEI), TREINITEC Ltda., Rua Carmélia Loffi 17, Justinópolis, Ribeirão das Neves 33900-730, MG, Brazil; (R.G.L.); (G.M.P.); (D.O.S.); (S.R.B.); (P.A.N.S.); (A.A.A.C.N.); (F.R.M.C.); (E.B.C.); (V.G.H.)
- Programa de Pós-Graduação em Neurociências, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
- Programa de Pós-Graduação em Psicologia: Cognição e Comportamento, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
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Iannone A, Giansanti D. Breaking Barriers-The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review. J Pers Med 2023; 14:41. [PMID: 38248742 PMCID: PMC10817661 DOI: 10.3390/jpm14010041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/18/2023] [Accepted: 12/23/2023] [Indexed: 01/23/2024] Open
Abstract
(Background) Autism increasingly requires a multidisciplinary approach that can effectively harmonize the realms of diagnosis and therapy, tailoring both to the individual. Assistive technologies (ATs) play an important role in this context and hold significant potential when integrated with artificial intelligence (AI). (Objective) The objective of this study is to analyze the state of integration of AI with ATs in autism through a review. (Methods) A review was conducted on PubMed and Scopus, applying a standard checklist and a qualification process. The outcome reported 22 studies, including 7 reviews. (Key Content and Findings) The results reveal an early yet promising interest in integrating AI into autism assistive technologies. Exciting developments are currently underway at the intersection of AI and robotics, as well as in the creation of wearable automated devices like smart glasses. These innovations offer substantial potential for enhancing communication, interaction, and social engagement for individuals with autism. Presently, researchers are prioritizing innovation over establishing a solid presence within the healthcare domain, where issues such as regulation and acceptance demand increased attention. (Conclusions) As the field continues to evolve, it becomes increasingly clear that AI will play a pivotal role in bridging various domains, and integrated ATs with AI are positioned to act as crucial connectors.
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Affiliation(s)
- Antonio Iannone
- CREA, Italian National Research Body, Via Ardeatina, 546, 00178 Roma, Italy
| | - Daniele Giansanti
- Centro Nazionale TISP, Istituto Superiore di Sanità; Viale Regina Elena 299, 00161 Roma, Italy
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Stasolla F, Passaro A, Di Gioia M, Curcio E, Zullo A. Combined extended reality and reinforcement learning to promote healthcare and reduce social anxiety in fragile X syndrome: a new assessment tool and a rehabilitative strategy. Front Psychol 2023; 14:1273117. [PMID: 38179497 PMCID: PMC10765535 DOI: 10.3389/fpsyg.2023.1273117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/30/2023] [Indexed: 01/06/2024] Open
Affiliation(s)
| | - Anna Passaro
- University “Giustino Fortunato” of Benevento, Benevento, Italy
| | | | - Enza Curcio
- University “Giustino Fortunato” of Benevento, Benevento, Italy
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Giansanti D. An Umbrella Review of the Fusion of fMRI and AI in Autism. Diagnostics (Basel) 2023; 13:3552. [PMID: 38066793 PMCID: PMC10706112 DOI: 10.3390/diagnostics13233552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 11/22/2023] [Accepted: 11/25/2023] [Indexed: 04/05/2024] Open
Abstract
The role of functional magnetic resonance imaging (fMRI) is assuming an increasingly central role in autism diagnosis. The integration of Artificial Intelligence (AI) into the realm of applications further contributes to its development. This study's objective is to analyze emerging themes in this domain through an umbrella review, encompassing systematic reviews. The research methodology was based on a structured process for conducting a literature narrative review, using an umbrella review in PubMed and Scopus. Rigorous criteria, a standard checklist, and a qualification process were meticulously applied. The findings include 20 systematic reviews that underscore key themes in autism research, particularly emphasizing the significance of technological integration, including the pivotal roles of fMRI and AI. This study also highlights the enigmatic role of oxytocin. While acknowledging the immense potential in this field, the outcome does not evade acknowledging the significant challenges and limitations. Intriguingly, there is a growing emphasis on research and innovation in AI, whereas aspects related to the integration of healthcare processes, such as regulation, acceptance, informed consent, and data security, receive comparatively less attention. Additionally, the integration of these findings into Personalized Medicine (PM) represents a promising yet relatively unexplored area within autism research. This study concludes by encouraging scholars to focus on the critical themes of health domain integration, vital for the routine implementation of these applications.
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Affiliation(s)
- Daniele Giansanti
- Centro Nazionale TISP, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
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